Ara
Toplam kayıt 35, listelenen: 1-10
On the mixcolumns linear transformation used in AES cipher
(2010)
AES block cipher includes a linear transformation called MixColumns which transforms 32-bit input to 32-bit output. This transformation has the property that makes linear and differential attacks harder. In this study, we ...
Feature Selection with Sequential Forward Selection Algorithm from Emotion Estimation Based on EEG Signals
(2019)
In this study, we conducted EEG-based emotion recognition on arousal-valence emotion model.We collected our own EEG data with mobile EEG device Emotiv Epoc+ 14 channel by applyingthe visual-aural stimulus. After collection ...
Pozitif ve Negatif Duyguların Ayrımında Etkili EEG Kanallarının Dalgacık Dönüşümü ve Destek Vektör Makineleri ile Belirlenmesi
(2019)
Duygular kişilerin yaşamlarını ve karar verme mekanizmalarını hayatının tamamında etkilemektedir. İnsanlarduygulara kelimeleri, sesleri, yüz mimiklerini ve vücut dillerini kullanarak istemli ya istemsiz bir şekilde, iş ...
Computer-based data analysis techniques: The potential application to crime investigation in cyber space
(Nova Science Publishers, Inc., 2017)
Collecting the most versatile information about individuals and their storing in different databases represent the reality of the contemporary society. The growth in the quantity of information has exceeded man’s power to ...
Prediction of Protein-Protein Interactions with LSTM Deep Learning Model
(Institute of Electrical and Electronics Engineers Inc., 2019)
Protein-protein interactions (PPI) has a vital role in molecular biology and bioinformatics since they are the key organisms which give information about cellular, its structure and its functions. In recent years many ...
Sürü zekâsında yeni bir yaklaşım: Kuş sürüsü algoritması
(2017)
Matematiksel programlama olarak da bilinen optimizasyon, bir amaç (değerlendirme) fonksiyonuna göre bir problemde belirli aralıktaki sayısal değerlerin en uygununu seçen işlemler topluluğudur. Optimizasyon problemleri için ...
Review of machine learning and deep learning models in agriculture
(2021)
Machine learning (ML) refers to the processes that enable computers to think based on variouslearning methods. It can be also called domain which is a subset of Artificial Intelligence (AI).Deep learning (DL) has been a ...
Designing a Secure IoT Network by Using Blockchain
(Institute of Electrical and Electronics Engineers Inc., 2019)
By the emergence of many intelligent application areas that can be diversified, such as homes and cities being smarter, creates new opportunities. It is clear that the Internet of Things (IoT) will be a large network with ...
A Comparative Study of Amino Acid Encoding Methods for Predicting Drug-Target Interactions in COVID-19 Disease
(Springer Science and Business Media Deutschland GmbH, 2022)
Identifying drug-target interactions plays an important role in discovering drugs. Identifying, finding, and preparing drug molecule targets is the key for modern drug discovery. However, potential drug-target interactions ...
EEG-Based Emotion Estimation with Different Deep Learning Models
(Ieee, 2019)
Emotion has a vital role in people's routine lives. It can be expressed via voice, facial expressions, body languages, mimics with intentionally or unintentionally to interact with the environment. In this regard, it is ...